Cluster technology is connecting multiple independent servers, and providing services as a whole by a cluster. In this paper, a quantum Optimization scheme in network cluster server task scheduling is proposed. The authors explore and research the distribution theory of energy field in quantum mechanics, specially; they apply it to data clustering. They compare the quantum optimization method with GA (Genetic Algorithm), ACO (Ant colony Optimization) and SAA (Simulated Annealing Algorithm). In the same time, they prove its validity and rationality by analog simulation and experiment.